Architect - GPU Performance

System level performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs). Work on hardware models of different levels of abstraction, including performance models, RTL test benches ,emulators and silicon to analyze performance and find performance bottlenecks in the system. Understand key performance use-cases of the product. Develop workloads and test suits targeting graphics, machine learning, automotive, video, compute vision applications running on these products. Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption. Develop required infrastructure including performance models, testbench components, performance analysis and visualization tools. Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.